New framework identifies discarded information in ML models with Lie group inputs; arXiv paper details symmetry and null fibers analysis.
Read the original at arxiv.org→arXiv:2607.13046v1 Announce Type: new Abstract: We develop a framework for the information discarded by machine learning models whose inputs carry a Lie group action. Given a representation $\pi$ of a Lie group $G$...
Original headline: "What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry"